🚀 Day 6/10 — Optimization Series Python Virtual Environments (Why They Matter) 👉 Basics are done. 👉 Now we move from working code → optimized code. You install a package… Everything works fine… Then suddenly 😐 👉 Another project breaks 🔹 The Problem 👉 Different projects need different versions 👉 Global installation = conflicts 🔹 What is a Virtual Environment? 👉 A separate isolated space for your project Each project can have: its own packages its own versions 🔹 Create Virtual Environment python -m venv myenv 🔹 Activate Windows: myenv\Scripts\activate Mac/Linux: source myenv/bin/activate 🔹 Install Packages pip install pandas 👉 Installed only inside this environment 🔹 Why This Matters No version conflicts Clean project setup Easy collaboration 🔹 Real-World Use 👉 Multiple projects 👉 Team development 👉 Production environments 💡 Quick Summary Virtual environment = isolated workspace 💡 Something to remember If everything breaks after installing one package… you’re not using virtual environments. #Python #DataEngineering #LearningInPublic #TechLearning
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⚠️ Skipping virtual environments is one of the most common mistakes new Python developers make. Here is why it matters and how to do it right. A virtual environment keeps your project dependencies isolated. Without one, every package you install goes into your global Python installation and things break fast when projects need different versions of the same library. Here is how to set one up for your FastAPI project: 🔧 Step 1: Create the virtual environment python -m venv environmentfoldername ⚡ Step 2: Activate it On Windows PowerShell: .\environmentfoldername\Scripts\Activate.ps1 On Mac, Linux, or Git Bash: source environmentfoldername/Scripts/activate Once activated, your terminal will show the environment name. That is your green light to start installing packages safely. ✅ 🙅 One more thing: always add your environment folder to .gitignore. You do not want to push hundreds of dependency files to GitHub. Virtual environments are a small habit that save enormous headaches. Start doing this from day one. #Python #FastAPI #DeveloperTips #CleanCode #PythonDevelopment
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10 Examples, Pipe, Linux ls | sort (files icon) ls | wc -l (counter icon) cat file.txt | grep hello (search icon) head file.txt (top lines icon) tail file.txt (bottom lines icon) ps aux | grep python (process icon) sort file.txt | uniq (filter icon) cat file.txt | wc (document icon) du -h | sort -h (storage icon) grep error file.txt | wc -l (error icon)
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Just released version 10.8.3 of passagemath, the comprehensive #OpenSource #Mathematics system in #Python, the pip-installable modularized portable fork of SageMath. It is available: - on PyPI, providing source distributions and binary wheels for Linux and macOS [full functionality of #SageMath, GAP, Macaulay2, and more] and Windows [partial functionality], - on the prefix.dev emscripten-forge channels, shipping #WebAssembly packages [partial functionality] for serverless in-browser use with Project Jupyter's JupyterLite and Notebook.link, - in the MSYS2 software distribution for Windows [partial functionality]. The release 10.8.3 updates the #CAS Maxima to version 5.49.0, updates GNU MPC (multi-precision complex numbers) to 1.4.0 and OpenBLAS to 0.3.32, and includes various bugfixes backported from #SageMath development. Developers who prefer building passagemath from source will benefit from the initial support for the clang 21 toolchain and autoconf 2.73. passagemath's updated version of the Sage distribution now ships the marimo Jupyter Lab extension for interoperability. It also brings various updates, including CVXPY to version 1.8.2 and NumPy to version 2.4.3. https://lnkd.in/gUmAmzQ8
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Just released version 10.8.4 of passagemath, the comprehensive #OpenSource #Mathematics system in #Python, the pip-installable modularized portable fork of SageMath. It is available: - on #PyPI, providing source distributions and binary wheels for Linux and macOS [full functionality of #SageMath, GAP, Macaulay2, PARI/GP, and more] and Windows [partial functionality], - on the prefix.dev emscripten-forge channels, shipping #WebAssembly packages [partial functionality] for serverless in-browser use with Project Jupyter's JupyterLite and Notebook.link, - in the #MSYS2 software distribution for Windows [partial functionality]. In passagemath-10.8.4, thanks to work by Samuel Chen, rich output is now also supported in Jupyter notebooks with standard Python kernels, such as on Google Colab or in JupyterLite (XPython). Example JupyterLite notebook for Algebraic Combinatorics, now with some plots: https://lnkd.in/gveZVfKE https://lnkd.in/g2kXE4Vd
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Pairing GDAL for a geospatial workflow in Python today. 💻 Mac vs Windows (A Love Letter to GDAL… and a Slight Cry for Help 😄) If you’ve ever tried installing GDAL on Windows, you know the struggle. If you’ve ever tried installing GDAL on Windows, you already know… it’s not just installation — it’s a journey. You start with: “pip install gdal” …and suddenly you’re: Installing dependencies you’ve never heard of. Fixing PATH variables like a detective Questioning your life choices. Then I finally typed one line in PowerShell: ✨ BOOM. It works. That moment? Pure joy. Like unlocking a hidden level in life. #python #rosettastone #gisworkflows
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PokeAgent – a Windows 11 computer-use agent in a handful of Python files. It reads the OS UI Automation tree, the LLM names elements, and Python handles every coordinate. No pip, no per-app SDK, no screenshots. https://lnkd.in/dafaZc2W
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The Backslash That Cost Me 25 Minutes "venv\Scripts\activate" vs "venv/Scripts\activate" Windows devs: ❌ Forward slash = instant fail ✅ Backslash = works Lesson: Environment setup = 50% of project time Windows devs - YOUR worst venv story? 👇** Tomorrow: API key disaster... Windows devs - YOUR worst venv activation story? Comment your answer below 👇 #Python #WindowsDev #Techstruggles
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Still using pip install for managing your Python projects? 🤔 Then you might wanna try "uv" — an extremely fast Python package and project manager written in Rust 🚀 Why uv? 1. A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more 2. 10–100x faster than pip ⚡ 3.Installs and manages different Python versions 4. Cross-platform support — macOS, Linux, and Windows Let’s give it a try in your next Python project 👨💻 #python #pip #uv #rust #developer #productivity #coding
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NASM Hello World Gists on Github Github has a feature called Gists which allow people to share short programs more conveniently than having an entire repository for them. Although of course these are part of my Chastity’s Code Cookbook repository, I like having these conveniently linked so that people who want a taste of Assembly programming can use my example code to get started with NASM. NASM 32-bit ELF Hello World with no linker https://lnkd.in/gr2UBwfi NASM 64-bit ELF Hello World with no linker https://lnkd.in/gCWDcHdn Obviously FASM can generate the ELF header without my math but I had to learn how the format works to get these working and also so I don’t depend on only one assembler. In my next book, I plan to cover using either FASM or NASM for Assembly language programming in Linux.
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